Rizwan Ali, Rai Imtiaz Hussain and Dr Shahbaz Hussain
The present research study aims to explore the impact of renewable energy (RE) on investors willing to invest. This current study also investigates the mediation role of perceived…
Abstract
Purpose
The present research study aims to explore the impact of renewable energy (RE) on investors willing to invest. This current study also investigates the mediation role of perceived benefit (PB) and living creature’s development (LCD) among RE and investors willing to invest.
Design/methodology/approach
Pakistani per capita income level is low; usually, the population lives hand to mouth. Only 10% to 15% of the population has been saving and is willing to invest in different sectors. To meet the aim of this study, data were collected from 300 individuals with a 40% response rate investors, equity fund managers and Pakistani stock exchanges using a nonprobability convenient sampling approach. The partial least square structural equation modeling technique and Smart partial least squares 3.0 were used to determine the primary and medicating effects of the variables.
Findings
The analysis shows that RE and investor willing to invest strongly linked each other directly and indirectly. PB and LCD significantly partial mediate the connection among RE and investor willing to invest. Hence, the results suggest that RE has more sustainable development goals with using and accessing affordable green and reliable energy.
Originality/value
The present study narrows the research gap by examining the effect of RE on investor willing to invest via PB and LCD. Also, it provides essential information for effective energy policies contributed to the sustainable development goals and gives valuable suggestions for policymaker and government.
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Khadija Alhammadi, Hazem Marashdeh and Matloub Hussain
This study assesses the impact of innovation diffusion theory (IDT), technology readiness index (TRI) and technology acceptance model (TAM) on the actual use of smart learning…
Abstract
Purpose
This study assesses the impact of innovation diffusion theory (IDT), technology readiness index (TRI) and technology acceptance model (TAM) on the actual use of smart learning. This impact also accounts for the country-digital culture by moderating the effects of resistance to change (RTC) and mediating the role of attitude.
Design/methodology/approach
The authors gather data from 301 respondents from various academic institutions in the United Arab Emirates (UAE) by operationalizing established theoretical constructs. The authors adopt a covariance-based structural equation modeling (SEM) approach.
Findings
The results reveal that IDT and TRI significantly and positively affect attitudes toward implementing smart learning. Besides, the attitude fully mediates the relationship between IDT, TRI constructs and behavioral intention (BI). Moreover, this study proves that RTC plays a major role in converging BI to place smart learning into actual use.
Research limitations/implications
The major limitation of the authors' work is that this work employs cross-sectional data from UAE only, and the data were gathered during the coronavirus disease 2019 (COVID-19) pandemic.
Practical implications
The stakeholders and administrators in government can benefit from the study findings to improve the efficiency and effectiveness of the implementation of smart learning, which will contribute to achieving stakeholders and administrators' strategic objectives.
Originality/value
The originality of this work stems from the incorporation of IDT, TRI and TAM constructs in the case of smart learning in UAE in post-COVID-19 scenarios.
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Shahbaz Sharif and Shahab Alam Malik
This study examines how green human resource management (GHRM), individually and collectively, affects green psychological climate (PGC), green in-role behavior (GIB), extra-role…
Abstract
Purpose
This study examines how green human resource management (GHRM), individually and collectively, affects green psychological climate (PGC), green in-role behavior (GIB), extra-role behavior (GEB) and green creativity (GC) in small, medium and large textile companies. The study also explores how green intellectual capital (GIC) moderates the relationship between GHRM and PGC and GC.
Design/methodology/approach
The study was conducted in two phases: in phase 1 (N = 41 records), a systematic literature review was performed to identify the gaps, and in phase 2 (N = 412 managers and supervisors), a quantitative survey method was employed. The structural equation model, with 1st-order and 2nd-order hierarchical models, was used to test the hypotheses.
Findings
The results showed that GHRM practices positively impacted PGC and GC. GHRM practices, including employee involvement (GEI), compensation and reward (GCR), training and development (GTD) and recruitment and selection (GRS), enhanced PGC. However, performance and management (GPM) do not significantly affect PGC. PGC significantly and positively affects GIB and GEB. GHRM also directly significantly influenced GC. Additionally, GIC significantly and positively moderated the relationship between GHRM and GC but not PGC, improving green creative behaviors in textile companies.
Practical implications
This study spurs textile enterprises, especially small, medium and large, to prioritize GHRM practices where employees with green climate (i.e. PGC), behaviors (i.e. GIB and GEB), knowledge, skills and abilities (i.e. GIC) strengthen their GC. Policymakers should encourage the adoption of GHRM to align GIC practices with environmental goals.
Originality/value
This study is unique in examining how GHRM practices, individually and collectively, enhance PGC employees’ GIB, GEB and GC. GIC strengthens employee green behaviors to develop innovative ideas (i.e. GC). It examines how GIC is crucial for GHRM to enhance creative activities toward environmental sustainability practices and goals.
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Kamaljit Singh and Simmi Vashishtha
The evidence on the causality of energy consumption and economic growth nexus is plentiful in energy economics studies. The empirical research results documented are dissimilar…
Abstract
Purpose
The evidence on the causality of energy consumption and economic growth nexus is plentiful in energy economics studies. The empirical research results documented are dissimilar because different methodologies, variables, time or data sources have been used. This study aims to examine and evaluate the existing literature to reveal the research inclinations, including future research directions. Therefore, from an application perspective, this study performed a bibliometric analysis that can serve as a basis for understanding research trend in relation to nexus of energy consumption and economic growth, its comprehensive research outcomes and the growing research inclination.
Design/methodology/approach
Using keyword search and delimiting criteria, 969 articles are selected for bibliometric analysis. Citation analysis, author keyword co-occurrence analysis, co-authorship and co-citation analysis are performed to assess the productive countries, authors, journals, articles, energy research trends, collaborating scholars and more frequently cited together articles.
Findings
Research results of the paper present a comprehensive research understanding of energy consumption and economic growth nexus studies. In terms of trending research topics, sustainable development, population density, urbanization, energy efficiency, energy intensity and carbon emission constitute a distinguished association that indicates the growth of these diverse fields’ study about energy.
Practical implications
As a policy implication and direction, the trade openness, natural gas/ resources, environmental kuznets curve, fossil-fuel consumption, agricultural land, financial development and foreign investments can be studied along with energy usage and economic growth nexus studies.
Social implications
The results provide valuable insight for the researchers selecting their potential disciplines for study, combining various techniques to deal with complex problems, identifying prospective co-authors and identifying the appropriate institutes for accompanying academic studies or collaborative research.
Originality/value
To the best of the author’s knowledge, this study is one of its kind regarding investigating the trend of energy consumption and economic growth relationship-related research published from 2001 to 2020 on the Scopus database.
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Surendra Singh Rajpurohit and Rajesh Sharma
This paper not only aims to validate the environment Kuznets curve concerning five Asian economies but also attempts to analyze the impact of some additional factors like…
Abstract
Purpose
This paper not only aims to validate the environment Kuznets curve concerning five Asian economies but also attempts to analyze the impact of some additional factors like financial development, energy consumption and foreign direct investment (FDI) on carbon emissions.
Design/methodology/approach
This paper applies pooled mean group approach on the variables of a panel of five Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Malaysia for a period of 35 years from 1980 to 2014.
Findings
This study finds that while moderate economic growth as well as moderate financial development increase carbon emissions, accelerated or exponential economic growth as well as exponential financial development eventually reduce the level of carbon emissions. Energy consumption was found to have a direct and significant relationship with carbon emissions. FDI inflows when analyzed on a stand-alone basis were observed to have an inverse relationship with carbon emissions, while FDI inflows when clubbed with financial development were observed to have a direct relationship with carbon emissions.
Practical implications
The findings of this study, which validate the environmental Kuznets curve, suggest striving for higher economic growth, even if it causes increased carbon emissions to begin with, as the effects on carbon emissions would eventually get reversed when the economic growth accelerates at a higher rate. This study also suggests the appropriate routing of FDI through a mature and developed financial sector to leverage its impact on the environment in a positive way.
Originality/value
To the best of the knowledge of the authors of this paper, there has not been any research carried out so far, which has analyzed the impact of the combination of variables selected for this study concerning the five Asian economies covered in this paper.
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Mohd Imran Khan, Shahbaz Khan, Urfi Khan and Abid Haleem
Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable…
Abstract
Purpose
Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.
Design/methodology/approach
The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).
Findings
Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.
Research limitations/implications
This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.
Originality/value
This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.
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Abbas Ali Chandio, Yuansheng Jiang, Tehreem Fatima, Fayyaz Ahmad, Munir Ahmad and Jiajia Li
This study aims to examine the impacts of climate change (CC), measured average annual rainfall, average annual temperature and carbon dioxide (CO2e) on cereal production (CPD) in…
Abstract
Purpose
This study aims to examine the impacts of climate change (CC), measured average annual rainfall, average annual temperature and carbon dioxide (CO2e) on cereal production (CPD) in Bangladesh by using the annual dataset from 1988–2014, with the incorporation of cereal cropped area (CCA), financial development (FD), energy consumption (EC) and rural labor force as important determinants of CPD.
Design/methodology/approach
This study used an auto-regressive distributive lag (ARDL) model and several econometric approaches to validate the long- and short-term cointegration and the causality directions, respectively, of the scrutinized variables.
Findings
Results of the bounds testing approach confirmed the stable long-term connections among the underlying variables. The estimates of the ARDL model indicated that rainfall improves CPD in the short-and long-term. However, CO2e has a significantly negative impact on CPD both in the short-and long-term. Results further showed that temperature has an adverse effect on CPD in the short-term. Among other determinants, CCA, FD and EC have significantly positive impacts on CPD in both cases. The outcomes of Granger causality indicated that a significant two-way causal association is running from all variables to CPD except temperature and rainfall. The connection between CPD and temperature is unidirectional, showing that CPD is influenced by temperature. All other variables also have a valid and significant causal link among each other. Additionally, the findings of variance decomposition suggest that results are robust, and all these factors have a significant influence on CPD in Bangladesh.
Research limitations/implications
These findings have important policy implications for Bangladesh and other developing countries. For instance, introduce improved cereal crop varieties, increase CCA and familiarizes agricultural credits through formal institutions on relaxed conditions and on low-interest rates could reduce the CPD’s vulnerability to climate shocks.
Originality/value
To the best of the authors’ knowledge, this study is the first attempt to examine the short- and long-term impacts of CC on CPD in Bangladesh over 1988–2014. The authors used various econometrics techniques, including the ARDL approach, the Granger causality test based on the vector error correction model framework and the variance decomposition method.
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Nurlan Orazalin, Cemil Kuzey, Ali Uyar and Abdullah S. Karaman
This study tests whether corporate social responsibility (CSR) performance is a predictor of the financial sector's financial stability (FS), with the moderation of a…
Abstract
Purpose
This study tests whether corporate social responsibility (CSR) performance is a predictor of the financial sector's financial stability (FS), with the moderation of a sustainability committee.
Design/methodology/approach
The sample covers financial sector firms included in the Thomson Reuters Eikon database. The analyses are based on 8,840 firm-year observations for the years between 2002 and 2019 and the country-firm-year fixed-effects (FE) regression analysis is executed.
Findings
The results reveal that CSR initiatives contribute to the financial sector's FS as a whole and the sector's three individual sub-sectors. This proven significant association holds for all sub-sectors, namely insurance, banking, and investment banking. Moreover, the moderation analysis reveals the prominent role of a sustainability committee in bridging CSR performance (CSRP) with FS.
Research limitations/implications
The findings highlight that meeting societies' expectations pays back in the form of greater FS in the financial sector.
Practical implications
The findings suggest that CSR engagement helps the financial sector firms manage their risks and alleviates exposure to insolvency. This is because CSR performance promotes firms' accountability and transparency toward stakeholders. The results help motivate managers to pursue CSR goals more seriously to ensure FS. The moderation analysis implies that sustainability committees develop policies and practices to integrate the non-financial and financial goals of the firm.
Originality/value
Although prior studies have examined the link between CSR and financial performance (FP) in the financial sector, those studies have largely ignored FS in terms of risk-adjusted performance. Besides, prior studies have exclusively focused on the banking sector, but the authors concentrate on the banking, insurance, and investment banking sectors.
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Lakshmana Padhan and Savita Bhat
The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it…
Abstract
Purpose
The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it empirically tests the direct impact of foreign direct investment (FDI) on the ecological footprint. Further, it explores the moderating role of green innovation on the nexus between FDI and ecological footprint.
Design/methodology/approach
The study uses the Driscoll–Kraay (DK) standard error panel regression technique to examine the long-run elasticities amongst the variables for the group of emerging countries, BRICS and Next-11, during the period of 1992 to 2018. Further, statistical robustness is demonstrated using the fully modified ordinary least squares technique.
Findings
The empirical finding shows that FDI degrades environmental quality by raising the ecological footprint. Thus, it proves that FDI is a source of pollution haven in BRICS and Next-11 countries. However, green innovation negatively moderates the relationship between FDI and ecological footprint. That means the joint impact of green innovation, and FDI proves the presence of the pollution halo hypothesis. Further, renewable energy consumption is reducing the ecological footprint, but economic growth and industrialisation are worsening the environmental quality.
Practical implications
This study offers policy implications for governments and policymakers to promote environmental sustainability by improving green innovation and allowing FDI that encourages clean and advanced technology.
Originality/value
No prior studies examine the moderating role of green innovation on the relationship between FDI and ecological footprint in the context of emerging countries.
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This paper aims to investigate the impact of board characteristics on environmental, social and governance (ESG) disclosure in the energy industry of emerging economies.
Abstract
Purpose
This paper aims to investigate the impact of board characteristics on environmental, social and governance (ESG) disclosure in the energy industry of emerging economies.
Design/methodology/approach
The authors adopt the Bloomberg ESG rating to measure the extent of ESG disclosure using a sample of 1,260 observations from BRICS emerging economies. Multiple regression techniques were used to estimate the effect of board characteristics on ESG disclosures of a sample Brazil, Russia, India, China, and South Africa (BRICS) listed companies between 2010 and 2019.
Findings
The authors find a relatively low (at 37%) level of ESG disclosure among the sampled firms and a relatively high degree of variability. The authors also find that board gender diversity, board composition and board diligence are positively related to the level of ESG disclosure while the study documents no relationship between board size and ESG disclosure.
Practical implications
The study’s findings highlight the importance of corporate board attributes in influencing strategic decisions such as the level of ESG disclosure and the findings may be useful to regulators, policymakers and investors in making informed investment decisions.
Originality/value
To the best of the authors’ knowledge, this study is one of the first attempts at examining the impact of board characteristics on ESG disclosure in the energy industry in emerging economies. The paper provides new evidence on the relationship between board characteristics (BC) and ESG disclosure in the energy industry of emerging BRICS countries within a panel multi-country research setting.